After a first start-up, a first appliance performs a self-learning step for generating usage parameters. These parameters are elaborated on subsequent start-ups. When these parameters are optimized, the first appliance transmits them to another appliance which requests them. This second appliance uses the parameters of the first as optimized parameters. In this way, the second appliance limits the duration of the self-learning step and the use of non-optimal parameters. According to a refinement, the optimal parameters are centralized on a server which transmits them to a plurality of second appliances using a transmission network.The present invention also relates to an appliance and a server implementing the method.